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Kim M, Masaki T, Oikawa K, Ashihara A, Ikuta K, Iwamoto E, Lee H, Haga S, Uemoto Y, Roh S, Terada F, Nonaka I. Effect of residual methane emission on physiological characteristics and carcass performance in Japanese Black cattle. Anim Sci J 2024; 95:e13954. [PMID: 38797605 DOI: 10.1111/asj.13954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/23/2024] [Accepted: 04/30/2024] [Indexed: 05/29/2024]
Abstract
This study investigated the physiological characteristics and carcass performance associated with residual methane emissions (RME), and the effects of bull differences on CH4-related traits in Japanese Black cattle. Enteric methane (CH4) emissions from 156 Japanese Black cattle (111 heifers and 45 steers) were measured during early fattening using the sniffer method. Various physiological parameters were investigated to clarify the physiological traits between the high, middle, and low RME groups. CH4-related traits were examined to determine whether bull differences affected progeny CH4 emissions. Ruminal butyrate and NH3 concentrations were significantly higher in the high-RME group than in the low-RME group, whereas the propionate content was significantly higher in the low-RME group. Blood urea nitrogen, β-hydroxybutyric acid, and insulin concentrations were significantly higher, and blood amino acids were lower in the high-RME group than in the other groups. No significant differences were observed in the carcass traits and beef fat composition between RME groups. CH4-related traits were significantly different among bull herds. Our results show that CH4-related traits are heritable, wherein bull differences affect progeny CH4 production capability, and that the above-mentioned rumen fermentations and blood metabolites could be used to evaluate enteric methanogenesis in Japanese Black cattle.
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Affiliation(s)
- Minji Kim
- Institute of Livestock and Grassland Science, Tsukuba, Ibaraki, Japan
| | - Tatsunori Masaki
- Hyogo Prefectural Technology Center of Agriculture, Forestry and Fisheries, Kasai, Hyogo, Japan
| | - Kohei Oikawa
- Institute of Livestock and Grassland Science, Nasushiobara, Tochigi, Japan
| | - Akane Ashihara
- Institute of Livestock and Grassland Science, Tsukuba, Ibaraki, Japan
| | - Kentaro Ikuta
- Hyogo Prefectural Technology Center of Agriculture, Forestry and Fisheries, Kasai, Hyogo, Japan
| | - Eiji Iwamoto
- Hyogo Prefectural Technology Center of Agriculture, Forestry and Fisheries, Kasai, Hyogo, Japan
| | - Huseong Lee
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Satoshi Haga
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Yoshinobu Uemoto
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Sanggun Roh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Fuminori Terada
- Institute of Livestock and Grassland Science, Tsukuba, Ibaraki, Japan
| | - Itoko Nonaka
- Institute of Livestock and Grassland Science, Tsukuba, Ibaraki, Japan
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Dzomba EF, Van Der Nest MA, Mthembu JNT, Soma P, Snyman MA, Chimonyo M, Muchadeyi FC. Selection signature analysis and genome-wide divergence of South African Merino breeds from their founders. Front Genet 2023; 13:932272. [PMID: 36685923 PMCID: PMC9847500 DOI: 10.3389/fgene.2022.932272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 11/22/2022] [Indexed: 01/05/2023] Open
Abstract
Merino sheep are a breed of choice across the world, popularly kept for their wool and mutton value. They are often reared as a pure breed or used in crossbreeding and are a common component in synthetic breed development. This study evaluated genetic diversity, population structure, and breed divergence in 279 animals of Merino and Merino-based sheep breeds in South Africa using the Illumina Ovine SNP 50K BeadChip. The sheep breeds analysed included the three Merino-derived breeds of Dohne Merino (n = 50); Meatmaster (n = 47); and Afrino (n = 52) and five presumed ancestral populations of Merinos (Merino (n = 46); South African Merino (n = 10); and South African Mutton Merino (n = 8)); and the non-Merino founding breeds of Damara (n = 20); Ronderib Afrikaner (n = 17); and Nguni (n = 29). Highest genetic diversity values were observed in the Dohne Merino (DM), with H o = 0.39 ± 0.01, followed by the Meatmaster and South African Merino (SAM), with H o = 0.37 ± 0.03. The level of inbreeding ranged from 0.0 ± 0.02 (DM) to 0.27 ± 0.05 (Nguni). Analysis of molecular variance (AMOVA) showed high within-population variance (>80%) across all population categories. The first principal component (PC1) separated the Merino, South African Mutton Merino (SAMM), DM, and Afrino (AFR) from the Meatmaster, Damara, Nguni, and Ronderib Afrikaner (RDA). PC2 aligned each Merino-derived breed with its presumed ancestors and separated the SAMM from the Merino and SAM. The iHS analysis yielded selection sweeps across the AFR (12 sweeps), Meatmaster (four sweeps), and DM (29 sweeps). Hair/wool trait genes such as FGF12; metabolic genes of ICA1, NXPH1, and GPR171; and immune response genes of IL22, IL26, IFNAR1, and IL10RB were reported. Other genes include HMGA, which was observed as selection signatures in other populations; WNT5A, important in the development of the skeleton and mammary glands; ANTXR2, associated with adaptation to variation in climatic conditions; and BMP2, which has been reported as strongly selected in both fat-tailed and thin-tailed sheep. The DM vs. SAMM shared all six sweep regions on chromosomes 1, 10, and 11 with AFR vs. SAMM. Genes such as FGF12 on OAR 1:191.3-194.7 Mb and MAP2K4 on OAR 11:28.6-31.3 Mb were observed. The selection sweep on chromosome 10 region 28.6-30.3 Mb harbouring the RXFP2 for polledness was shared between the DM vs. Merino, the Meatmaster vs. Merino, and the Meatmaster vs. Nguni. The DM vs. Merino and the Meatmaster vs. Merino also shared an Rsb-based selection sweep on chromosome 1 region 268.5-269.9 Mb associated with the Calpain gene, CAPN7. The study demonstrated some genetic similarities between the Merino and Merino-derived breeds emanating from common founding populations and some divergence driven by breed-specific selection goals. Overall, information regarding the evolution of these composite breeds from their founding population will guide future breed improvement programs and management and conservation efforts.
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Affiliation(s)
- E. F. Dzomba
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa,*Correspondence: E. F. Dzomba,
| | - M. A. Van Der Nest
- Agricultural Research Council Biotechnology Platform, Private Bag X5 Onderstepoort, Pretoria, South Africa
| | - J. N. T. Mthembu
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - P Soma
- Agricultural Research Council, Animal Production and Improvement, Pretoria, South Africa
| | - M. A. Snyman
- Grootfontein Agricultural Development Institute, Middelburg, South Africa
| | - M. Chimonyo
- Discipline of Animal and Poultry Science, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - F. C. Muchadeyi
- Agricultural Research Council Biotechnology Platform, Private Bag X5 Onderstepoort, Pretoria, South Africa
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Lakamp AD, Ahlberg CM, Allwardt K, Broocks A, Bruno K, Mcphillips L, Taylor A, Krehbiel CR, Calvo-Lorenzo MS, Richards C, Place SE, Desilva U, Kuehn LA, Weaber RL, Bormann JM, Rolf MM. Variance component estimation and genome-wide association of predicted methane production in crossbred beef steers. J Anim Sci 2023; 101:skad179. [PMID: 37328159 PMCID: PMC10284037 DOI: 10.1093/jas/skad179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 05/26/2023] [Indexed: 06/18/2023] Open
Abstract
Enteric methane is a potent greenhouse gas and represents an escape of energy from the ruminant digestive system. Additive genetic variation in methane production suggests that genetic selection offers an opportunity to diminish enteric methane emissions. Logistic and monetary difficulties in directly measuring methane emissions can make genetic evaluation on an indicator trait such as predicted methane production a more appealing option, and inclusion of genotyping data can result in greater genetic progress. Three predicted methane production traits were calculated for 830 crossbred steers fed in seven groups. The methane prediction equations used included mathematical models from Ellis et al. (2007), Mills et al. (2003), and IPCC (2019). Pearson correlations between the traits were all greater than 0.99, indicating that each prediction equation behaved similarly. Further, the Spearman correlations between the estimated breeding values for each trait were also 0.99, which suggests any of the predicted methane models could be used without substantially changing the ranking of the selection candidates. The heritabilities of Ellis, Mills, and IPCC predicted methane production were 0.60, 0.62, and 0.59, respectively. A genome-wide association study identified one single nucleotide polymorphism (SNP) that reached the threshold for significance for all of the traits on chromosome 7 related to oxidoreductase activity. Additionally, the SNP slightly below the significance threshold indicate genes related to collagen, intracellular microtubules, and DNA transcription may play a role in predicted methane production or its component traits.
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Affiliation(s)
- Andrew D Lakamp
- Department of Animals Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Cashley M Ahlberg
- Department of Animals Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Kristi Allwardt
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Ashely Broocks
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Kelsey Bruno
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Levi Mcphillips
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Alexandra Taylor
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Clint R Krehbiel
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
- Davis College of Animal Science, Texas Tech University, Lubbock, TX 79409, USA
| | - Michelle S Calvo-Lorenzo
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
- Farm Animal Business, Elanco Animal Health, Greenfield, IN 46140, USA
| | - Chris Richards
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Sara E Place
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
- Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Udaya Desilva
- Department of Animal Science, Oklahoma State University, Stillwater, OK 74078, USA
| | - Larry A Kuehn
- USDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE 68933, USA
| | - Robert L Weaber
- Department of Animals Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Jennifer M Bormann
- Department of Animals Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
| | - Megan M Rolf
- Department of Animals Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA
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Shinoda C, Yasuda J, Yamagata K, Suzuki K, Satoh M, Roh S, Uemoto Y. Genetic relationships of feed efficiency and growth traits with carcass traits in Japanese Shorthorn cattle. Anim Sci J 2022; 93:e13691. [PMID: 35137482 DOI: 10.1111/asj.13691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/10/2022] [Accepted: 01/27/2022] [Indexed: 12/19/2022]
Abstract
In this study, we examined genetic parameters for feed efficiency, growth, and carcass traits in Japanese Shorthorn cattle, based on 714 performance tests and 15,790 field carcass records. Feed efficiency traits, including residual feed intake (RFI) and residual body weight gain (RG), were calculated. Single-trait and two-trait animal models were used to estimate heritability and genetic correlations. Heritability estimates for feed efficiency traits were found to be low to moderate (ranging from 0.03 to 0.36); notably, heritability was moderate for RG and low for RFI. Estimates for genetic correlations between feed efficiency traits and average daily gain (DG) were favorably moderate to high (absolute values of 0.43-0.85), and those with daily feed intake were low (absolute values of 0.00-0.32). We also estimated a high genetic correlation between RG and DG. The backfat thickness (BF) of bull calves showed favorable or no genetic correlation estimates with feed efficiency and growth traits, whereas RG and BF showed favorable or no genetic correlation estimates with carcass traits. Our findings indicate that genetic improvements in both feed utilization ability and carcass traits could be achieved by utilizing RG and BF in Japanese Shorthorn cattle.
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Affiliation(s)
- Chiharu Shinoda
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Jumpei Yasuda
- Iwate Prefecture Livestock Research Center, Takizawa, Japan
| | | | - Keiichi Suzuki
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Masahiro Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Sanggun Roh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Yoshinobu Uemoto
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
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Uemoto Y, Takeda M, Ogino A, Kurogi K, Ogawa S, Satoh M, Terada F. Genetic and genomic analyses for predicted methane-related traits in Japanese Black steers. Anim Sci J 2020; 91:e13383. [PMID: 32410280 PMCID: PMC7379199 DOI: 10.1111/asj.13383] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 04/01/2020] [Accepted: 04/10/2020] [Indexed: 12/26/2022]
Abstract
The objectives of this study were to estimate genetic parameters and to perform a genome‐wide association study (GWAS) for predicted methane‐related traits in Japanese Black steers. The methane production and yield traits were predicted using on‐farm measurable traits, such as dry matter intake and average daily gain. A total of 4,578 Japanese Black steers, which were progenies of 362 sires genotyped with imputed 551,995 single nucleotide polymorphisms (SNPs), had phenotypes of predicted methane‐related traits during the total fattening period (52 weeks). For the estimation of genetic parameters, the estimated heritabilities were moderate (ranged from 0.57 to 0.60). In addition, the estimated genetic correlations of methane production traits with most of carcass traits and feed‐efficiency traits were unfavorable, but those of methane yield traits were favorable or low. For the GWAS, no genome‐wide significant SNP was detected, but a total of four quantitative trait locus (QTL) regions that explained more than 5.0% of genetic variance were localized on the genome, and some candidate genes associated with growth and feed‐efficiency traits were located on the regions. Our results suggest that the predicted methane‐related traits are heritable and some QTL regions for the traits are localized on the genome in Japanese Black steers.
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Affiliation(s)
- Yoshinobu Uemoto
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | | | - Atushi Ogino
- Maebashi Institute of Animal Science, Livestock Improvement Association of Japan, Inc., Maebashi, Japan
| | - Kazuhito Kurogi
- Cattle Breeding Department, Livestock Improvement Association of Japan, Inc., Tokyo, Japan
| | - Shinichro Ogawa
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Masahiro Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Fuminori Terada
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
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